Abstract

This study explores the perception of bias in AI-generated news articles among Generation X and Generation Z. The primary objective is to examine whether the generational differences of age affect the perception of bias and the perceived usefulness of AI-generated content. A quantitative approach is employed, utilizing a survey with 60 participants equally divided between the two generations. The results indicate that Generation X perceives AI-generated news as more useful and less biased compared to Generation Z, although these differences are not statistically significant. Additionally, a significant positive correlation is found between perceived usefulness and perceived bias, suggesting that participants who found AI-generated news useful also perceived less bias in the content. The findings highlight the importance of considering generational perspectives when implementing AI in news production. Media and technology companies can leverage these insights to refine their strategies and foster user trust and acceptance. The study’s limitations include a small sample size and focus on German-speaking participants, limiting the generalizability of the results. Future research should include larger, more diverse samples and incorporate qualitative methods to gain deeper insights into individual perceptions and attitudes toward AI-generated news. Overall, this study provides valuable insights into the perception of bias and acceptance of AI in news production, laying the groundwork for further investigations and practical applications in this field.